diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index 8fd66f8582302484bbf3e0cae64131fd74b6e616..c1e1bf60c917ad4803b9405f3d8a08f0dc9c78b7 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -768,18 +768,11 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "# ESSAI : Fit sur un sinus de une année"
+   ]
   },
   {
    "cell_type": "code",
@@ -794,13 +787,6 @@
     "time_1y = dates_to_idx(data_1y.index)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 19,
@@ -872,13 +858,6 @@
     "    return np.round(season_CO2, 2)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 25,
@@ -944,24 +923,180 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "def global_fit(time):\n",
+    "    CO2 = (coeffs_trend.get('a')*time*time + coeffs_trend.get('b')*time + coeffs_trend.get('c') +\n",
+    "           coeffs_season.get('amp')*np.sin(2*np.pi*coeffs_season.get('freq')*time) + coeffs_season.get('shift'))\n",
+    "    return np.round(CO2, 2)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "data['global_fit'] = pd.Series(global_fit(time), index=data.index)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe4d74c92e8>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Initialisation du graph\n",
+    "fig = plt.figure()\n",
+    "\n",
+    "# Définition des axes\n",
+    "ax = plt.subplot(111)\n",
+    "\n",
+    "# Titre du graph\n",
+    "ax.set_title(\"CO2 dans l'atmosphère - Base complète\")\n",
+    "\n",
+    "# Label des axes\n",
+    "ax.set_ylabel(\"Concentration de CO2 [$ppm$]\")\n",
+    "\n",
+    "# Graph sur la base complète\n",
+    "data.drop(['untrend_data', 'trend_fit'], axis=1).plot(ax=ax, figsize=(15,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9878914379143057"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Estimation du coefficient de détermination\n",
+    "r2_score(data['CO2'], data['global_fit'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ESSAI : Fit sur toute la base"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "def mysine_global(x, amp, freq, shift):\n",
+    "    return amp * np.sin(2*np.pi*x*freq) + shift"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinemodel_global = Model(mysine_global)\n",
+    "params_sine_global = sinemodel_global.make_params(amp=7, freq=1, shift = 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result_season_global = sinemodel_global.fit(data['untrend_data'], params_sine_global, x=time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "coeffs_season_global = result_season_global.params.valuesdict()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "OrderedDict([('amp', 2.5022539354204705),\n",
+       "             ('freq', 1.0044805631567757),\n",
+       "             ('shift', 316.19947719002874)])"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "coeffs_season_global"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def season_fitted_curve_global(time):\n",
+    "    season_CO2_global = coeffs_season_global.get('amp')*np.sin(2*np.pi*coeffs_season_global.get('freq')*time) + coeffs_season_global.get('shift')\n",
+    "    return np.round(season_CO2_global, 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ajout d'une colonne dans le dataframe data\n",
+    "data['fit_global'] = pd.Series(season_fitted_curve_global(time), index=data.index)"
+   ]
   },
   {
    "cell_type": "code",
@@ -970,6 +1105,864 @@
    "outputs": [],
    "source": []
   },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe4fff87c18>"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.drop(['trend_fit', 'CO2', 'global_fit'], axis=1).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def global_fit_season(time):\n",
+    "    CO2 = (coeffs_trend.get('a')*time*time + coeffs_trend.get('b')*time + coeffs_trend.get('c') +\n",
+    "           coeffs_season_global.get('amp')*np.sin(2*np.pi*coeffs_season_global.get('freq')*time) + coeffs_season_global.get('shift'))\n",
+    "    return np.round(CO2, 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data['global_fit_global'] = pd.Series(global_fit_season(time), index=data.index) - 316.19"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CO2</th>\n",
+       "      <th>trend_fit</th>\n",
+       "      <th>untrend_data</th>\n",
+       "      <th>global_fit</th>\n",
+       "      <th>fit_global</th>\n",
+       "      <th>global_fit_global</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1958-03-29</th>\n",
+       "      <td>316.19</td>\n",
+       "      <td>314.57</td>\n",
+       "      <td>317.81</td>\n",
+       "      <td>315.44</td>\n",
+       "      <td>316.20</td>\n",
+       "      <td>314.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-04-05</th>\n",
+       "      <td>317.31</td>\n",
+       "      <td>314.59</td>\n",
+       "      <td>318.91</td>\n",
+       "      <td>315.83</td>\n",
+       "      <td>316.50</td>\n",
+       "      <td>314.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-04-12</th>\n",
+       "      <td>317.69</td>\n",
+       "      <td>314.60</td>\n",
+       "      <td>319.28</td>\n",
+       "      <td>316.21</td>\n",
+       "      <td>316.80</td>\n",
+       "      <td>315.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-04-19</th>\n",
+       "      <td>317.58</td>\n",
+       "      <td>314.61</td>\n",
+       "      <td>319.16</td>\n",
+       "      <td>316.59</td>\n",
+       "      <td>317.09</td>\n",
+       "      <td>315.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-04-26</th>\n",
+       "      <td>316.48</td>\n",
+       "      <td>314.63</td>\n",
+       "      <td>318.04</td>\n",
+       "      <td>316.94</td>\n",
+       "      <td>317.36</td>\n",
+       "      <td>315.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-05-03</th>\n",
+       "      <td>316.95</td>\n",
+       "      <td>314.64</td>\n",
+       "      <td>318.50</td>\n",
+       "      <td>317.27</td>\n",
+       "      <td>317.62</td>\n",
+       "      <td>316.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-05-17</th>\n",
+       "      <td>317.56</td>\n",
+       "      <td>314.67</td>\n",
+       "      <td>319.08</td>\n",
+       "      <td>317.83</td>\n",
+       "      <td>318.07</td>\n",
+       "      <td>316.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-05-24</th>\n",
+       "      <td>317.99</td>\n",
+       "      <td>314.69</td>\n",
+       "      <td>319.49</td>\n",
+       "      <td>318.06</td>\n",
+       "      <td>318.26</td>\n",
+       "      <td>316.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-07-05</th>\n",
+       "      <td>315.85</td>\n",
+       "      <td>314.78</td>\n",
+       "      <td>317.26</td>\n",
+       "      <td>318.48</td>\n",
+       "      <td>318.68</td>\n",
+       "      <td>317.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-07-12</th>\n",
+       "      <td>315.85</td>\n",
+       "      <td>314.79</td>\n",
+       "      <td>317.25</td>\n",
+       "      <td>318.38</td>\n",
+       "      <td>318.63</td>\n",
+       "      <td>317.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-07-19</th>\n",
+       "      <td>315.46</td>\n",
+       "      <td>314.81</td>\n",
+       "      <td>316.84</td>\n",
+       "      <td>318.24</td>\n",
+       "      <td>318.54</td>\n",
+       "      <td>317.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-07-26</th>\n",
+       "      <td>315.59</td>\n",
+       "      <td>314.82</td>\n",
+       "      <td>316.96</td>\n",
+       "      <td>318.05</td>\n",
+       "      <td>318.41</td>\n",
+       "      <td>317.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-08-02</th>\n",
+       "      <td>315.64</td>\n",
+       "      <td>314.84</td>\n",
+       "      <td>316.99</td>\n",
+       "      <td>317.83</td>\n",
+       "      <td>318.26</td>\n",
+       "      <td>316.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-08-09</th>\n",
+       "      <td>315.10</td>\n",
+       "      <td>314.85</td>\n",
+       "      <td>316.44</td>\n",
+       "      <td>317.57</td>\n",
+       "      <td>318.07</td>\n",
+       "      <td>316.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-08-16</th>\n",
+       "      <td>315.09</td>\n",
+       "      <td>314.87</td>\n",
+       "      <td>316.41</td>\n",
+       "      <td>317.28</td>\n",
+       "      <td>317.85</td>\n",
+       "      <td>316.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-08-30</th>\n",
+       "      <td>314.14</td>\n",
+       "      <td>314.90</td>\n",
+       "      <td>315.43</td>\n",
+       "      <td>316.62</td>\n",
+       "      <td>317.36</td>\n",
+       "      <td>316.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-09-06</th>\n",
+       "      <td>313.54</td>\n",
+       "      <td>314.91</td>\n",
+       "      <td>314.82</td>\n",
+       "      <td>316.27</td>\n",
+       "      <td>317.08</td>\n",
+       "      <td>315.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-11-08</th>\n",
+       "      <td>313.05</td>\n",
+       "      <td>315.05</td>\n",
+       "      <td>314.19</td>\n",
+       "      <td>313.47</td>\n",
+       "      <td>314.53</td>\n",
+       "      <td>313.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-11-15</th>\n",
+       "      <td>313.26</td>\n",
+       "      <td>315.06</td>\n",
+       "      <td>314.39</td>\n",
+       "      <td>313.30</td>\n",
+       "      <td>314.32</td>\n",
+       "      <td>313.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-11-22</th>\n",
+       "      <td>313.57</td>\n",
+       "      <td>315.08</td>\n",
+       "      <td>314.68</td>\n",
+       "      <td>313.18</td>\n",
+       "      <td>314.13</td>\n",
+       "      <td>313.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-11-29</th>\n",
+       "      <td>314.01</td>\n",
+       "      <td>315.09</td>\n",
+       "      <td>315.11</td>\n",
+       "      <td>313.10</td>\n",
+       "      <td>313.98</td>\n",
+       "      <td>312.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-12-06</th>\n",
+       "      <td>314.56</td>\n",
+       "      <td>315.11</td>\n",
+       "      <td>315.64</td>\n",
+       "      <td>313.07</td>\n",
+       "      <td>313.86</td>\n",
+       "      <td>312.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-12-13</th>\n",
+       "      <td>314.41</td>\n",
+       "      <td>315.12</td>\n",
+       "      <td>315.48</td>\n",
+       "      <td>313.08</td>\n",
+       "      <td>313.77</td>\n",
+       "      <td>312.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-12-20</th>\n",
+       "      <td>314.77</td>\n",
+       "      <td>315.14</td>\n",
+       "      <td>315.82</td>\n",
+       "      <td>313.15</td>\n",
+       "      <td>313.71</td>\n",
+       "      <td>312.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958-12-27</th>\n",
+       "      <td>315.21</td>\n",
+       "      <td>315.15</td>\n",
+       "      <td>316.25</td>\n",
+       "      <td>313.26</td>\n",
+       "      <td>313.70</td>\n",
+       "      <td>312.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959-01-03</th>\n",
+       "      <td>315.24</td>\n",
+       "      <td>315.17</td>\n",
+       "      <td>316.26</td>\n",
+       "      <td>313.42</td>\n",
+       "      <td>313.72</td>\n",
+       "      <td>312.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959-01-10</th>\n",
+       "      <td>315.50</td>\n",
+       "      <td>315.18</td>\n",
+       "      <td>316.51</td>\n",
+       "      <td>313.63</td>\n",
+       "      <td>313.77</td>\n",
+       "      <td>312.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959-01-17</th>\n",
+       "      <td>315.69</td>\n",
+       "      <td>315.20</td>\n",
+       "      <td>316.68</td>\n",
+       "      <td>313.87</td>\n",
+       "      <td>313.86</td>\n",
+       "      <td>312.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959-01-24</th>\n",
+       "      <td>315.86</td>\n",
+       "      <td>315.21</td>\n",
+       "      <td>316.84</td>\n",
+       "      <td>314.15</td>\n",
+       "      <td>313.99</td>\n",
+       "      <td>313.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959-01-31</th>\n",
+       "      <td>315.42</td>\n",
+       "      <td>315.23</td>\n",
+       "      <td>316.38</td>\n",
+       "      <td>314.46</td>\n",
+       "      <td>314.15</td>\n",
+       "      <td>313.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-07-06</th>\n",
+       "      <td>412.69</td>\n",
+       "      <td>410.33</td>\n",
+       "      <td>318.55</td>\n",
+       "      <td>408.31</td>\n",
+       "      <td>315.48</td>\n",
+       "      <td>409.63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-07-13</th>\n",
+       "      <td>412.30</td>\n",
+       "      <td>410.38</td>\n",
+       "      <td>318.11</td>\n",
+       "      <td>408.42</td>\n",
+       "      <td>315.20</td>\n",
+       "      <td>409.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-07-20</th>\n",
+       "      <td>411.76</td>\n",
+       "      <td>410.42</td>\n",
+       "      <td>317.53</td>\n",
+       "      <td>408.58</td>\n",
+       "      <td>314.93</td>\n",
+       "      <td>409.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-07-27</th>\n",
+       "      <td>410.32</td>\n",
+       "      <td>410.47</td>\n",
+       "      <td>316.04</td>\n",
+       "      <td>408.78</td>\n",
+       "      <td>314.68</td>\n",
+       "      <td>408.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-08-03</th>\n",
+       "      <td>410.50</td>\n",
+       "      <td>410.52</td>\n",
+       "      <td>316.17</td>\n",
+       "      <td>409.03</td>\n",
+       "      <td>314.45</td>\n",
+       "      <td>408.78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-08-10</th>\n",
+       "      <td>410.48</td>\n",
+       "      <td>410.56</td>\n",
+       "      <td>316.11</td>\n",
+       "      <td>409.32</td>\n",
+       "      <td>314.25</td>\n",
+       "      <td>408.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-08-17</th>\n",
+       "      <td>410.05</td>\n",
+       "      <td>410.61</td>\n",
+       "      <td>315.63</td>\n",
+       "      <td>409.64</td>\n",
+       "      <td>314.07</td>\n",
+       "      <td>408.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-08-24</th>\n",
+       "      <td>409.52</td>\n",
+       "      <td>410.65</td>\n",
+       "      <td>315.06</td>\n",
+       "      <td>409.99</td>\n",
+       "      <td>313.93</td>\n",
+       "      <td>408.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-08-31</th>\n",
+       "      <td>409.32</td>\n",
+       "      <td>410.70</td>\n",
+       "      <td>314.81</td>\n",
+       "      <td>410.37</td>\n",
+       "      <td>313.82</td>\n",
+       "      <td>408.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-09-07</th>\n",
+       "      <td>408.80</td>\n",
+       "      <td>410.74</td>\n",
+       "      <td>314.25</td>\n",
+       "      <td>410.76</td>\n",
+       "      <td>313.74</td>\n",
+       "      <td>408.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-09-14</th>\n",
+       "      <td>408.61</td>\n",
+       "      <td>410.79</td>\n",
+       "      <td>314.01</td>\n",
+       "      <td>411.18</td>\n",
+       "      <td>313.70</td>\n",
+       "      <td>408.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-09-21</th>\n",
+       "      <td>408.50</td>\n",
+       "      <td>410.83</td>\n",
+       "      <td>313.86</td>\n",
+       "      <td>411.60</td>\n",
+       "      <td>313.70</td>\n",
+       "      <td>408.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-09-28</th>\n",
+       "      <td>408.28</td>\n",
+       "      <td>410.88</td>\n",
+       "      <td>313.59</td>\n",
+       "      <td>412.02</td>\n",
+       "      <td>313.73</td>\n",
+       "      <td>408.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-10-05</th>\n",
+       "      <td>407.99</td>\n",
+       "      <td>410.92</td>\n",
+       "      <td>313.26</td>\n",
+       "      <td>412.43</td>\n",
+       "      <td>313.80</td>\n",
+       "      <td>408.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-10-12</th>\n",
+       "      <td>408.61</td>\n",
+       "      <td>410.97</td>\n",
+       "      <td>313.83</td>\n",
+       "      <td>412.84</td>\n",
+       "      <td>313.91</td>\n",
+       "      <td>408.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-10-19</th>\n",
+       "      <td>408.77</td>\n",
+       "      <td>411.01</td>\n",
+       "      <td>313.95</td>\n",
+       "      <td>413.23</td>\n",
+       "      <td>314.05</td>\n",
+       "      <td>408.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-10-26</th>\n",
+       "      <td>408.68</td>\n",
+       "      <td>411.06</td>\n",
+       "      <td>313.81</td>\n",
+       "      <td>413.60</td>\n",
+       "      <td>314.21</td>\n",
+       "      <td>409.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-11-02</th>\n",
+       "      <td>409.86</td>\n",
+       "      <td>411.10</td>\n",
+       "      <td>314.95</td>\n",
+       "      <td>413.94</td>\n",
+       "      <td>314.41</td>\n",
+       "      <td>409.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-11-09</th>\n",
+       "      <td>410.15</td>\n",
+       "      <td>411.15</td>\n",
+       "      <td>315.19</td>\n",
+       "      <td>414.24</td>\n",
+       "      <td>314.64</td>\n",
+       "      <td>409.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-11-16</th>\n",
+       "      <td>410.22</td>\n",
+       "      <td>411.19</td>\n",
+       "      <td>315.22</td>\n",
+       "      <td>414.51</td>\n",
+       "      <td>314.88</td>\n",
+       "      <td>409.89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-11-23</th>\n",
+       "      <td>410.48</td>\n",
+       "      <td>411.24</td>\n",
+       "      <td>315.43</td>\n",
+       "      <td>414.74</td>\n",
+       "      <td>315.15</td>\n",
+       "      <td>410.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-11-30</th>\n",
+       "      <td>410.92</td>\n",
+       "      <td>411.29</td>\n",
+       "      <td>315.82</td>\n",
+       "      <td>414.93</td>\n",
+       "      <td>315.43</td>\n",
+       "      <td>410.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-07</th>\n",
+       "      <td>411.27</td>\n",
+       "      <td>411.33</td>\n",
+       "      <td>316.13</td>\n",
+       "      <td>415.06</td>\n",
+       "      <td>315.73</td>\n",
+       "      <td>410.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-14</th>\n",
+       "      <td>411.67</td>\n",
+       "      <td>411.38</td>\n",
+       "      <td>316.48</td>\n",
+       "      <td>415.15</td>\n",
+       "      <td>316.03</td>\n",
+       "      <td>411.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-21</th>\n",
+       "      <td>412.30</td>\n",
+       "      <td>411.42</td>\n",
+       "      <td>317.07</td>\n",
+       "      <td>415.20</td>\n",
+       "      <td>316.33</td>\n",
+       "      <td>411.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-28</th>\n",
+       "      <td>412.59</td>\n",
+       "      <td>411.47</td>\n",
+       "      <td>317.31</td>\n",
+       "      <td>415.19</td>\n",
+       "      <td>316.63</td>\n",
+       "      <td>411.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>413.19</td>\n",
+       "      <td>411.51</td>\n",
+       "      <td>317.87</td>\n",
+       "      <td>415.14</td>\n",
+       "      <td>316.92</td>\n",
+       "      <td>412.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-11</th>\n",
+       "      <td>413.39</td>\n",
+       "      <td>411.56</td>\n",
+       "      <td>318.02</td>\n",
+       "      <td>415.04</td>\n",
+       "      <td>317.21</td>\n",
+       "      <td>412.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-25</th>\n",
+       "      <td>413.36</td>\n",
+       "      <td>411.65</td>\n",
+       "      <td>317.90</td>\n",
+       "      <td>414.71</td>\n",
+       "      <td>317.73</td>\n",
+       "      <td>413.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-01</th>\n",
+       "      <td>413.99</td>\n",
+       "      <td>411.69</td>\n",
+       "      <td>318.49</td>\n",
+       "      <td>414.49</td>\n",
+       "      <td>317.95</td>\n",
+       "      <td>413.46</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3156 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               CO2  trend_fit  untrend_data  global_fit  fit_global  \\\n",
+       "date                                                                  \n",
+       "1958-03-29  316.19     314.57        317.81      315.44      316.20   \n",
+       "1958-04-05  317.31     314.59        318.91      315.83      316.50   \n",
+       "1958-04-12  317.69     314.60        319.28      316.21      316.80   \n",
+       "1958-04-19  317.58     314.61        319.16      316.59      317.09   \n",
+       "1958-04-26  316.48     314.63        318.04      316.94      317.36   \n",
+       "1958-05-03  316.95     314.64        318.50      317.27      317.62   \n",
+       "1958-05-17  317.56     314.67        319.08      317.83      318.07   \n",
+       "1958-05-24  317.99     314.69        319.49      318.06      318.26   \n",
+       "1958-07-05  315.85     314.78        317.26      318.48      318.68   \n",
+       "1958-07-12  315.85     314.79        317.25      318.38      318.63   \n",
+       "1958-07-19  315.46     314.81        316.84      318.24      318.54   \n",
+       "1958-07-26  315.59     314.82        316.96      318.05      318.41   \n",
+       "1958-08-02  315.64     314.84        316.99      317.83      318.26   \n",
+       "1958-08-09  315.10     314.85        316.44      317.57      318.07   \n",
+       "1958-08-16  315.09     314.87        316.41      317.28      317.85   \n",
+       "1958-08-30  314.14     314.90        315.43      316.62      317.36   \n",
+       "1958-09-06  313.54     314.91        314.82      316.27      317.08   \n",
+       "1958-11-08  313.05     315.05        314.19      313.47      314.53   \n",
+       "1958-11-15  313.26     315.06        314.39      313.30      314.32   \n",
+       "1958-11-22  313.57     315.08        314.68      313.18      314.13   \n",
+       "1958-11-29  314.01     315.09        315.11      313.10      313.98   \n",
+       "1958-12-06  314.56     315.11        315.64      313.07      313.86   \n",
+       "1958-12-13  314.41     315.12        315.48      313.08      313.77   \n",
+       "1958-12-20  314.77     315.14        315.82      313.15      313.71   \n",
+       "1958-12-27  315.21     315.15        316.25      313.26      313.70   \n",
+       "1959-01-03  315.24     315.17        316.26      313.42      313.72   \n",
+       "1959-01-10  315.50     315.18        316.51      313.63      313.77   \n",
+       "1959-01-17  315.69     315.20        316.68      313.87      313.86   \n",
+       "1959-01-24  315.86     315.21        316.84      314.15      313.99   \n",
+       "1959-01-31  315.42     315.23        316.38      314.46      314.15   \n",
+       "...            ...        ...           ...         ...         ...   \n",
+       "2019-07-06  412.69     410.33        318.55      408.31      315.48   \n",
+       "2019-07-13  412.30     410.38        318.11      408.42      315.20   \n",
+       "2019-07-20  411.76     410.42        317.53      408.58      314.93   \n",
+       "2019-07-27  410.32     410.47        316.04      408.78      314.68   \n",
+       "2019-08-03  410.50     410.52        316.17      409.03      314.45   \n",
+       "2019-08-10  410.48     410.56        316.11      409.32      314.25   \n",
+       "2019-08-17  410.05     410.61        315.63      409.64      314.07   \n",
+       "2019-08-24  409.52     410.65        315.06      409.99      313.93   \n",
+       "2019-08-31  409.32     410.70        314.81      410.37      313.82   \n",
+       "2019-09-07  408.80     410.74        314.25      410.76      313.74   \n",
+       "2019-09-14  408.61     410.79        314.01      411.18      313.70   \n",
+       "2019-09-21  408.50     410.83        313.86      411.60      313.70   \n",
+       "2019-09-28  408.28     410.88        313.59      412.02      313.73   \n",
+       "2019-10-05  407.99     410.92        313.26      412.43      313.80   \n",
+       "2019-10-12  408.61     410.97        313.83      412.84      313.91   \n",
+       "2019-10-19  408.77     411.01        313.95      413.23      314.05   \n",
+       "2019-10-26  408.68     411.06        313.81      413.60      314.21   \n",
+       "2019-11-02  409.86     411.10        314.95      413.94      314.41   \n",
+       "2019-11-09  410.15     411.15        315.19      414.24      314.64   \n",
+       "2019-11-16  410.22     411.19        315.22      414.51      314.88   \n",
+       "2019-11-23  410.48     411.24        315.43      414.74      315.15   \n",
+       "2019-11-30  410.92     411.29        315.82      414.93      315.43   \n",
+       "2019-12-07  411.27     411.33        316.13      415.06      315.73   \n",
+       "2019-12-14  411.67     411.38        316.48      415.15      316.03   \n",
+       "2019-12-21  412.30     411.42        317.07      415.20      316.33   \n",
+       "2019-12-28  412.59     411.47        317.31      415.19      316.63   \n",
+       "2020-01-04  413.19     411.51        317.87      415.14      316.92   \n",
+       "2020-01-11  413.39     411.56        318.02      415.04      317.21   \n",
+       "2020-01-25  413.36     411.65        317.90      414.71      317.73   \n",
+       "2020-02-01  413.99     411.69        318.49      414.49      317.95   \n",
+       "\n",
+       "            global_fit_global  \n",
+       "date                           \n",
+       "1958-03-29             314.58  \n",
+       "1958-04-05             314.90  \n",
+       "1958-04-12             315.21  \n",
+       "1958-04-19             315.51  \n",
+       "1958-04-26             315.80  \n",
+       "1958-05-03             316.08  \n",
+       "1958-05-17             316.56  \n",
+       "1958-05-24             316.76  \n",
+       "1958-07-05             317.27  \n",
+       "1958-07-12             317.23  \n",
+       "1958-07-19             317.15  \n",
+       "1958-07-26             317.04  \n",
+       "1958-08-02             316.90  \n",
+       "1958-08-09             316.73  \n",
+       "1958-08-16             316.53  \n",
+       "1958-08-30             316.06  \n",
+       "1958-09-06             315.80  \n",
+       "1958-11-08             313.39  \n",
+       "1958-11-15             313.19  \n",
+       "1958-11-22             313.02  \n",
+       "1958-11-29             312.88  \n",
+       "1958-12-06             312.77  \n",
+       "1958-12-13             312.70  \n",
+       "1958-12-20             312.66  \n",
+       "1958-12-27             312.66  \n",
+       "1959-01-03             312.69  \n",
+       "1959-01-10             312.76  \n",
+       "1959-01-17             312.87  \n",
+       "1959-01-24             313.01  \n",
+       "1959-01-31             313.19  \n",
+       "...                       ...  \n",
+       "2019-07-06             409.63  \n",
+       "2019-07-13             409.39  \n",
+       "2019-07-20             409.16  \n",
+       "2019-07-27             408.96  \n",
+       "2019-08-03             408.78  \n",
+       "2019-08-10             408.62  \n",
+       "2019-08-17             408.49  \n",
+       "2019-08-24             408.39  \n",
+       "2019-08-31             408.32  \n",
+       "2019-09-07             408.29  \n",
+       "2019-09-14             408.30  \n",
+       "2019-09-21             408.34  \n",
+       "2019-09-28             408.42  \n",
+       "2019-10-05             408.54  \n",
+       "2019-10-12             408.69  \n",
+       "2019-10-19             408.87  \n",
+       "2019-10-26             409.08  \n",
+       "2019-11-02             409.33  \n",
+       "2019-11-09             409.60  \n",
+       "2019-11-16             409.89  \n",
+       "2019-11-23             410.20  \n",
+       "2019-11-30             410.53  \n",
+       "2019-12-07             410.87  \n",
+       "2019-12-14             411.21  \n",
+       "2019-12-21             411.56  \n",
+       "2019-12-28             411.91  \n",
+       "2020-01-04             412.25  \n",
+       "2020-01-11             412.57  \n",
+       "2020-01-25             413.18  \n",
+       "2020-02-01             413.46  \n",
+       "\n",
+       "[3156 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe4fff87ac8>"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Initialisation du graph\n",
+    "fig = plt.figure()\n",
+    "\n",
+    "# Définition des axes\n",
+    "ax = plt.subplot(111)\n",
+    "\n",
+    "# Titre du graph\n",
+    "ax.set_title(\"CO2 dans l'atmosphère - Base complète\")\n",
+    "\n",
+    "# Label des axes\n",
+    "ax.set_ylabel(\"Concentration de CO2 [$ppm$]\")\n",
+    "\n",
+    "# Graph sur la base complète\n",
+    "data.drop(['untrend_data', 'trend_fit', 'global_fit', 'fit_global'], axis=1).plot(ax=ax, figsize=(15,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9975968422196821"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Estimation du coefficient de détermination\n",
+    "r2_score(data['CO2'], data['global_fit_global'])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,